3 citations · 3 across the 1 of their papers we have counts for
4 papers
Sound Event Detection with Depthwise Separable and Dilated Convolutions
Konstantinos Drossos, Stylianos I. Mimilakis, Shayan Gharib +2
State-of-the-art sound event detection (SED) methods usually employ a series of convolutional neural networks (CNNs) to extract useful features from the input audio signal, and the…
VOICe: A Sound Event Detection Dataset For Generalizable Domain Adaptation
Shayan Gharib, Konstantinos Drossos, Eemi Fagerlund +1
The performance of sound event detection methods can significantly degrade when they are used in unseen conditions (e.g. recording devices, ambient noise). Domain adaptation is a p…
Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling
Konstantinos Drossos, Shayan Gharib, Paul Magron +1
A sound event detection (SED) method typically takes as an input a sequence of audio frames and predicts the activities of sound events in each frame. In real-life recordings, the…
Unsupervised adversarial domain adaptation for acoustic scene classification
Shayan Gharib, Konstantinos Drossos, Emre Çakir +2
A general problem in acoustic scene classification task is the mismatched conditions between training and testing data, which significantly reduces the performance of the developed…